jayroxis / PINNs
PyTorch Implementation of Physics-informed Neural Networks
☆538Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for PINNs
- Investigating PINNs☆515Updated 3 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆463Updated 3 weeks ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆255Updated 4 months ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆271Updated 5 months ago
- Must-read Papers on Physics-Informed Neural Networks.☆935Updated 11 months ago
- ☆282Updated last year
- Learning nonlinear operators via DeepONet☆542Updated 2 years ago
- ☆368Updated 8 months ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆247Updated 3 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆180Updated 3 years ago
- Physics-informed neural networks package☆271Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆315Updated 5 months ago
- DeepONet & FNO (with practical extensions)☆223Updated last year
- Physics-Informed Neural networks for Advanced modeling☆392Updated this week
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆251Updated 11 months ago
- ☆788Updated this week
- Physics-informed neural network for solving fluid dynamics problems☆194Updated 3 years ago
- ☆231Updated last week
- Deep learning for Engineers - Physics Informed Deep Learning☆325Updated 11 months ago
- A place to share problems solved with SciANN☆250Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆767Updated last week
- ☆174Updated 3 years ago
- ☆146Updated 9 months ago
- Hidden Fluid Mechanics☆302Updated last year
- Using graph network to solve PDEs☆347Updated last year
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆152Updated last year
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆203Updated last month
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆154Updated last year
- ☆179Updated 3 months ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆702Updated 4 months ago